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» Computing Minimal Mappings
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DSP
2006
15 years 5 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares
SIAMIS
2008
279views more  SIAMIS 2008»
15 years 4 months ago
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
Yilun Wang, Junfeng Yang, Wotao Yin, Yin Zhang
TIP
2008
144views more  TIP 2008»
15 years 4 months ago
Minimization of Region-Scalable Fitting Energy for Image Segmentation
Intensity inhomogeneities often occur in real-world images and may cause considerable difficulties in image segmentation. In order to overcome the difficulties caused by intensity ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...
144
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JMIV
2007
83views more  JMIV 2007»
15 years 4 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
TWC
2008
120views more  TWC 2008»
15 years 4 months ago
Energy minimization of a QAM system with fading
In this paper, the problem of choosing constellation size and transmit power that minimizes the energy-per-goodbit in a frequency-flat, long-term static fading channel is considere...
Raghavendra S. Prabhu, Babak Daneshrad